Spreadsheet Risks in Banks

No other industry perhaps handles such large volumes of critical financial data more than the banking industry. For decades now, spreadsheets have become permanent fixtures in the front-line reporting tool sets of banks, providing organised information when and where needed.

But as banks enter into a period of heightened credit risks, elevated levels of fraud, and greater regulatory scrutiny, many are wondering if continued reliance on spreadsheets is a wise decision for banks today.

The downfall of Lehman Brothers which eventually led to its filing for Chapter 11 bankruptcy protection on September 15, 2008, served as a wake up call for many institutions across the globe to make a serious examination of their own risk management practices. But would these reforms include evaluating the security of user developed applications (UDAs), the most common of which are spreadsheets, and putting specific guidelines as to when they can – or cannot be – used?

Banks and Spreadsheet Use

Banks have been known to utilise spreadsheets systems for many critical functions because most personnel are well-acquainted with them, and the freedom of being able to develop customised reports without needing to consult with the IT department offers flexibility and convenience. In fact, more than having a way to do financial budgeting and analysing customer profitability, even loan officers and trade managers have become reliant on spreadsheets for risk management reporting and for making underwriting decisions.

But there are more than a few drawbacks to using spreadsheets for these tasks, and the sooner bank executives realise these, the sooner they can adopt better solutions.

General Limitations

Spreadsheets are far from being data base systems and yet more often than not, they are expected to act as such, with figures constantly added and formulas edited to produce the presumably right set of reports.

In addition, data integrity is always a cause for concern as most values in spreadsheets are entered as manual inputs. Even the mere misplacement of a comma or a negative sign, or an inadvertent ?edit? to a formula can also be a source of significant changes in the outcome.

Confidentiality risk is also another drawback of the use of spreadsheets in banks as these tools do not have adequate?access controls to limit access to only authorised individuals. Pertinent financial information that fall into the wrong hands can lead to a whole new set of problems including the possibility of fraud.

Risks in Trading

For trading transactions, spreadsheets can prove to be of immense use – but only for small market volumes. As trade volumes increase and the types vary, spreadsheets are no longer a viable solution and may likely become more of a hindrance, with calculations taking longer in the face of bigger transaction amounts and growing transaction data.

And in trading, there is always the need for rigorous computational functions. Computing for the Value at Risk (VaR) for large portfolios for instance, is simply way beyond the capabilities of spreadsheets. Banks that persist in using them are increasing the risk of loss on those portfolios. Or, they can be opening up?opportunities for fraud?as Allied Irish Bank (in the case of John Rusnak – $690 million) learned the hard way.

Risks in Underwriting

Bankers who use spreadsheets as their main source of information for underwriting procedures also face certain limitations. Loan transactions require that borrowers? financial data be centralised and easily accessible to risk officers and lending officers involved in making decisions. With spreadsheets, there is no simple and secure way of doing that. Information can be pulled from different sources – individual tax returns, corporate tax documents, partnership documents, audited financial statements – hence there is difficulty in verifying that these reports adhere to underwriting policies.

Spreadsheet control and monitoring

Financial institutions which are having difficulty weaning themselves from the convenience and simplicity that spreadsheets offer are looking for possible control solutions. Essentially, they want to find ways that allow them to continue using these UDAs and yet somehow eliminate the?spreadsheet risks?and limitations involved.

Still, the debate goes back and forth on whether adequate control measures can be implemented on spreadsheets so that that the risks are mitigated. Many services have come forward to herald innovative solutions for better spreadsheet management. But at the end of the day, there really is no guarantee that such solutions would suffice.

More Spreadsheet Blogs


Spreadsheet Risks in Banks


Top 10 Disadvantages of Spreadsheets


Disadvantages of Spreadsheets – obstacles to compliance in the Healthcare Industry


How Internal Auditors can win the War against Spreadsheet Fraud


Spreadsheet Reporting – No Room in your company in an age of Business Intelligence


Still looking for a Way to Consolidate Excel Spreadsheets?


Disadvantages of Spreadsheets


Spreadsheet woes – ill equipped for an Agile Business Environment


Spreadsheet Fraud


Spreadsheet Woes – Limited features for easy adoption of a control framework


Spreadsheet woes – Burden in SOX Compliance and other Regulations


Spreadsheet Risk Issues


Server Application Solutions – Don’t let Spreadsheets hold your Business back


Why Spreadsheets can send the pillars of Solvency II crashing down

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How AI Helps Improve Field Service

Its seems that with the current rate of technological innovation that these is something new every single day.  Therefore, you’re always looking forward to a new technological innovation that’s going to help you make your business operations more efficient and automated.

One of the most fascinating milestones in the field of technology is the integration of Artificial Intelligence (AI) in business. In one way or the other, AI gives a glimpse of machine supremacy that allows computers to perform tasks that were initially performed by humans. 

Are machines going to completely replace people in the workplace?

Of course, not.  Technologies like AI and Machine Learning are designed and meant to support employees in doing their tasks too boost their productivity.

AI is predominantly used to eliminate jobs and tasks that humans find boring, demotivating or monotonous. In some cases AI is also used to do jobs that are considered dangerous for humans to preform.

Previously the most common implementations for AI were all about gaming, entertainment, and advanced science,  now it’s spreading into a number of industries including the field service industry.

FieldElite – Field Service Software , can help you optimise the day-to-day operations of your business.

AI in field service management will enhance you business capabilities with:

  • Information Sharing
  • Real Time Updates
  • Automated Workflows
  • Digital Form Data Collection
  • Data Analysis

Improved Customer Service

For Service Based companies, customer retention is vital. Primarily because It can be 5-25 times more costly to acquire a new customer than it is to retain an existing ones.

Therefore customer retention should be a primary focus.? The good news is that by making use of AI you can implement services It can be 5-25 times more costly to acquire a new customer than it is to retain an existing one.

Staying on top of and ensuring you satisfactorily address and meet you customer demands and expectations can be a daunting task.? It can also be an expensive one,? especially for small field service based businesses like :

  • Heating & Plumbing Engineers
  • Electrical Contractors
  • Fire Safety Inspectors
  • HVAC Engineers
  • Facility Management
  • Building, Construction & Trade

Implementing Artificial Intelligence and Machine Learning to automate mundane and repetitive customer administration tasks will enable your staff to be free to provide additional value added tasks for your customers. Making your customers happier.

?Think about the active Chatbots. You can always get complaints directly from customers and address them right away.??

If at any point the customer is unhappy with your services, they can always raise the issue via the Chatbots. Since the bots contain necessary customer information, you can always get back to them and fix the issue at hand.?

With AI in field service, you can solve problems before they arise, or what is otherwise known as predictive maintenance,? In that way, you’ll have better customer relations because you’ll be able to address your customer concerns before they even become aware of them.

Improved Productivity

Scheduling tasks and managing the workforce isn’t a walk in the park. It goes beyond assigning tasks to your team members in the field and giving them deadlines to meet. Whether it’s a small firm or a big organisation, it’s quite difficult to organise the workforce.?

However, adopting Artificial Intelligence can iron out the difficulties most field organisations face in scheduling and managing tasks. Some years back, most firms relied on human intelligence to dispatch jobs to the right people based on given conditions. This was quite difficult, especially that it wasn’t always successful. But thanks to AI. With field service apps like FieldElite scheduling tasks and managing workforce is only a few clicks away.?

What’s more? There?s no room for error. Therefore, you’ll always match the right people for the job. Again, your team will always get tasks on time. That means, the job completion rate will go up, and hence the workforce becomes more productive.?

Predictive Maintenance

Usually, most business operations are based on ?solve the problem as it occurs?, which is just OK. However, it’s not always safe to wait until a problem occurs so that you solve it. Prevention is better than cure, and that’s why Artificial Intelligence comes handy in Field Service.

Using FieldElite Workforce Management Software , you don’t have to wait until something breaks.? Utilizing AI in field service enables you to proactively address field service needs and prevent unforeseen failures and interruptions.?

The ability to predict field service needs through field service apps like FieldElite enables you to make more accurate forecasts. In this way, resource planning is made easier, and as such, you’ll have smoothly running workflows. Again, by taking care of unforeseen circumstances in advance, you’re flexible enough to take care of the unexpected. And that means the overall productivity of your business will go up.

Job Management

Most field service jobs involve multiple stages that can take several days to complete. In addition to this, more often than not, you have to coordinate lots of equipment and contractors at the same time. All these can’t be achieved solely by human efforts. For more successful outcomes, it’s important to incorporate Artificial Intelligence in your field service operations.?

FieldElite is the field service solution that can help you manage sophisticated tasks. The app is packed with field service management tools that enable you to assign complicated tasks and keep track of your field techs. For long-cycle jobs, FieldElite app enables you to follow up on the activities going on the field to ensure they’re completed.?

With AI, there?s no room for error even when the jobs become more sophisticated.

Data Analysis

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Field service industry involves lots of data. Some years back, organisations depended on human intelligence to analyse big data. Well, things still worked out, but as a human is to err, the outcome wasn’t always perfect. However, with Artificial Intelligence data analysis, 100% accuracy in data analysis is achievable. Field service solutions like FieldElite provide sophisticated data analytic tools that enable you to crack massive data and offer accurate solutions.?

FieldElite data analytics capabilities give you an insight into what’s not working and what needs to be improved. In that way, you can always address matters arising and take care of the loopholes.?

It’s time to go paperless with field management software like FieldElite if you?d like to make your business more profitable. Apart from improving the productivity of your workforce, incorporating AI in your business increases profitability. If you’re still doing your usual field rounds with a clipboard, it’s time to simplify your task with FieldElite app.?

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The Future is Smarter with a Smart Meter

Traditionally, electricity and water meter consumption was measured via analogue meters. Utility billing was based on actual consumption units obtained from the meter by meter readers. This entailed physical visits to the metering point. Lots of challenges came with meter reading; talk of customers feeling their privacy is intruded, meter readers encountering hostile customers, dogs, closed gates. The result was estimated bills that were most often than not very high.

Smart meters can be dubbed as the ?next generation? type of meters. Smart meters send wireless electronic meter readings to one?s energy supplier automatically. There are both gas smart meters and electricity smart meters. Smart meters come with in-home displays, which give someone real-time feedback on their energy usage and the associated cost.

Smart meters communicate meter readings directly to utility companies therefore no one has to come to your home to read your meter; and neither are you required to submit meter readings yourself. This not only reduces costs, but leads to more accurate electricity bills practically eliminating estimated bills. Smart meters signal the end of estimated bills, and the end of overpaying or underpaying for energy.

Whereas a smart meter in itself does not save you money, the add-ons (in-home displays) that come with the smart meters and which give someone real-time feedback on their energy usage helps them to reduce the unnecessary energy use and this ultimately leads to better oversight into how to lower utility bills hence better management of one?s energy use.

In summary, a smart meter is a technology that enables energy consumers to see their energy as they use it, a technology where energy is displayed as it is being used and wireless ratings sent. Adoption of smart meters would mean the end of estimated energy bills.

Smart meters are also promising a smart future where all energy consuming devices can be connected to the internet and centrally controlled using computers or smartphones. This means one is able to switch off lights and other energy consuming devices from a central point, hence make savings and this will enable them to have greater control of their energy use, hence more comfort, convenience and life will be cheaper for all. This is the smarter future we are all looking forward to.

8 Reasons why you Need to Undertake Technical and Application Assessments

Are your information assets enabling you to operate more cost-effectively or are they just drawing in more risks than you are actually aware of? Obviously, you now need to get a better picture of those assets to see if your IT investments are giving you the benefits you were expecting and to help you identify areas where improvements should be made.

The best way to get the answers to those questions is through technical and application assessments. In this post, we?ll identify 8 good reasons why it is now imperative to undertake such assessments.

1. Address known issues – Perhaps the most common reason that drives companies to undertake a technology/application assessment is to identify the causes of existing issues such as those related to data accessibility, hardware and software scalability, and performance.

2. Cut down liabilities and risks – Unless you know what and where the risks are, there is no way you can implement an appropriate risk mitigation strategy. A technology and application assessment will enable you to thoroughly test and examine your information systems to see where your business-critical areas and points of failure are and subsequently allow you to act on them.

3. Discover emerging risks – Some risks may not yet be as threatening as others. But it would certainly be reassuring to be aware if any exist. That way, you can either nip them in the bud or keep them monitored.

4. Comply with regulations – Regulations like SOX require you to establish adequate internal controls to achieve compliance. Other regulations call for the protection of personally identifiable information. Assessments will help you pinpoint processes that lack controls, identify data that need protection, and areas that don’t meet regulatory requirements. This will enable you to act accordingly and keep your company away from tedious, time-consuming and costly sanctions.

5. Enhance performance – Poor performance is not always caused by an ageing hardware or an overloaded infrastructure. Sometimes, the culprits are: unsuitable configuration settings, inappropriate security policies, or misplaced business logic. A well-executed assessment can provide enough information that would lead to a more cost-effective action plan and help you avoid an expensive but useless purchase.

6. Improve interoperability – Disparate technologies working completely separate from each other may be preventing you from realising the maximum potential of your entire IT ecosystem. If you can examine your IT systems, you may be able to discover ways to make them interoperate and in turn harness untapped capabilities of already existing assets.

7. Ensure alignment of IT with business goals – An important factor in achieving IT governance is the proper alignment of IT with business goals. IT processes need to be assessed regularly to ensure that this alignment continues to exist. If it does not, then necessary adjustments can be made.

8. Provide assurance to customers and investors – Escalating cases of data breaches and identity theft are making customers and investors more conscious with a company?s capability of preserving the confidentiality of sensitive information. By conducting regular assessments, you can show your customers and investors concrete steps for keeping sensitive information confidential.

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